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Fix indexing in convolve1d with mode="same" #1337

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Merged
merged 2 commits into from
Apr 1, 2025
Merged

Fix indexing in convolve1d with mode="same" #1337

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a1d3b93
indexing error convolve1d mode same
tvwenger Apr 1, 2025
398e038
Update tests/tensor/signal/test_conv.py
ricardoV94 Apr 1, 2025
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4 changes: 2 additions & 2 deletions pytensor/tensor/signal/conv.py
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Original file line number Diff line number Diff line change
Expand Up @@ -119,8 +119,8 @@ def convolve1d(
if mode == "same":
# We implement "same" as "valid" with padded `in1`.
in1_batch_shape = tuple(in1.shape)[:-1]
zeros_left = in2.shape[0] // 2
zeros_right = (in2.shape[0] - 1) // 2
zeros_left = in2.shape[-1] // 2
zeros_right = (in2.shape[-1] - 1) // 2
in1 = join(
-1,
zeros((*in1_batch_shape, zeros_left), dtype=in2.dtype),
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13 changes: 13 additions & 0 deletions tests/tensor/signal/test_conv.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,3 +47,16 @@ def test_convolve1d_batch():
res_np = np.convolve(x_test[0], y_test[0])
np.testing.assert_allclose(res[0], res_np, rtol=rtol)
np.testing.assert_allclose(res[1], res_np, rtol=rtol)


def test_convolve1d_batch_same():
x = matrix("data")
y = matrix("kernel")
out = convolve1d(x, y, mode="same")

rng = np.random.default_rng(38)
x_test = rng.normal(size=(2, 8)).astype(x.dtype)
y_test = rng.normal(size=(2, 8)).astype(x.dtype)

res = out.eval({x: x_test, y: y_test})
assert res.shape == (2, 8)